Update README.md

README.md

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 # Model Description
 
-Erya is a pretrained model specifically designed for translating Ancient Chinese into Modern Chinese. It utilizes an Encoder-Decoder architecture and has been trained using a combination of DMLM (Dual Masked Language Model) and DAS (Disyllabic Aligned Substitution) techniques on datasets comprising both Ancient Chinese and Modern Chinese texts. The detailed information of our work can bu found here: [RUCAIBox/Erya (github.com)](https://github.com/RUCAIBox/Erya) 
+Erya is a pretrained model specifically designed for translating Ancient Chinese into Modern Chinese. It utilizes an Encoder-Decoder architecture and has been trained using a combination of DMLM (Dual Masked Language Model) and DAS (Disyllabic Aligned Substitution) techniques on datasets comprising both Ancient Chinese and Modern Chinese texts. The detailed information of our work can be found here: [RUCAIBox/Erya (github.com)](https://github.com/RUCAIBox/Erya) 
 
-Erya has not undergone fine-tuning for the machine translation task, making it possible to further enhance its translation capabilities by fine-tuning on a translation dataset. More information about Ancient Chinese and Modern Chinese dataset can be found here: [RUCAIBox/Erya-dataset · Datasets at Hugging Face](https://huggingface.co/datasets/RUCAIBox/Erya-dataset)
+More information about Erya dataset can be found here: [RUCAIBox/Erya-dataset · Datasets at Hugging Face](https://huggingface.co/datasets/RUCAIBox/Erya-dataset), which can be used to tune the Erya model further for a better translation performance.